Production Capacity Analyst

About Backblaze

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.

Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Production Capacity Analyst to join our team!

Backblaze is seeking a detail-oriented, systems-minded Production Capacity Analyst to support the planning, deployment, and management of infrastructure capacity across our global cloud storage platform.

This role is responsible for maintaining accurate and reliable capacity data, supporting forecasting and hardware planning, and improving visibility into system utilization, growth, and cost drivers. You will work closely with Capacity Planning, Production Engineering, Data Center Operations, and Finance teams to ensure infrastructure growth is well understood, well coordinated, and aligned with business demand and development roadmaps.

This is a collaborative, execution-focused role within Cloud Operations, contributing to service reliability and performance, cost efficiency, and operational readiness using high-quality data, thoughtful analysis, and consistent execution.

• Collect, reconcile, organize, and analyze data across storage, compute, and network systems to support capacity planning and operational decision making
• Contribute to short and mid-term cluster and data center capacity forecasts by maintaining datasets, validating assumptions, identifying trends, and improving model logic
• Coordinate hardware and site deployment readiness across production environments, including tracking deployments, managing open orders, and effecting internal asset movements to maintain balanced capacity availability
• Maintain and improve reporting on resource utilization, growth results and trajectories, and capacity constraints and risk, ensuring data is accurate, concise, and actionable
• Monitor key capacity metrics and dashboards to proactively identify anomalies, constraints, risks, and visibility issues
• Support Compliance, Security, audit, and reporting efforts related to capacity planning and infrastructure operations by scoping requirements, organizing data and tracking execution
• Contribute to automation of data collection, reporting, and analysis workflows to improve efficiency and reduce manual efforts
• Partner with Capacity Engineering, SRE, and Systems Engineering to ensure capacity data reflects real system behavior and operational conditions
• Communicate findings clearly and support coordination across teams to ensure alignment on capacity-related activities and priorities

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, Statistics, Economics, Finance, or a related technical field, or equivalent experience
• 2 to 4 years of experience in data analysis, infrastructure operations, capacity planning, infrastructure or production engineering, or a similarly technical role
• Experience working with structured data sets at moderate to large scale using modern database and data analysis tools, preferably SQL, Python, Snowflake, Metabase, Excel, Google Sheets, or similar languages and tools
• Familiarity with observability and monitoring systems, preferably Grafana, Metabase, Prometheus, Open Search, or equivalent platforms
• Understanding of core system resources such as CPU, memory, disk, and network, and how they impact performance, utilization, and scalability
• Worki…